Linlin Xu
TitleCited byYear
A comparative study of different classification techniques for marine oil spill identification using RADARSAT-1 imagery
L Xu, J Li, A Brenning
Remote Sensing of Environment 141, 14-23, 2014
812014
Sea Ice Concentration Estimation During Melt From Dual-Pol SAR Scenes Using Deep Convolutional Neural Networks: A Case Study
L Wang, KA Scott, L Xu, DA Clausi
IEEE Transactions on Geoscience and Remote Sensing 54 (8), 4524-4533, 2016
592016
SAR Image Denoising via Clustering-Based Principal Component Analysis
L Xu, J Li, Y Shu, J Peng
IEEE Transactions on Geoscience and Remote Sensing 52 (11), 6858-6869, 2014
452014
Hyperspectral Image Classification With Limited Labeled Training Samples Using Enhanced Ensemble Learning and Conditional Random Fields
F Li, L Xu, P Siva, A Wong, D Clausi
IEEE Journal of Selected Topics in Applied Earth observations and Remote …, 2015
352015
Bayesian Classification of Hyperspectral Imagery Based on Probabilistic Sparse Representation and Markov Random Field
L Xu, J Li
IEEE Geoscience and Remote Sensing Letters 11 (4), 823 - 827, 2014
232014
Hyperspectral Image Denoising Using a Spatial–Spectral Monte Carlo Sampling Approach
L Xu, F Li, A Wong, D Clausi
IEEE Journal of Selected Topics on Applied Earth Observations and Remote …, 2015
162015
Oil Spill Candidate Detection From SAR Imagery Using a Thresholding-Guided Stochastic Fully-Connected Conditional Random Field Model
L Xu, M Shafiee, A Wong, F Li, L Wang, D Clausi
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
142015
Intrinsic Representation of Hyperspectral Imagery for Unsupervised Feature Extraction
L Xu, A Wong, F Li, DA Clausi
IEEE Transactions on Geoscience and Remote Sensing 54 (2), 1118 - 1130, 2015
132015
ST-IRGS: A Region-Based Self-Training Algorithm Applied to Hyperspectral Image Classification and Segmentation
F Li, DA Clausi, L Xu, A Wong
IEEE Transactions on Geoscience and Remote Sensing 56 (1), 3 - 16, 2017
82017
Weakly Supervised Classification of Remotely Sensed Imagery Using Label Constraint and Edge Penalty
L Xu, DA Clausi, F Li, A Wong
IEEE Transactions on Geoscience and Remote Sensing 55 (3), 1424-1436, 2016
62016
A semi-supervised approach for Ice-water classification using dual-polarization SAR satellite imagery
F Li, DA Clausi, L Wang, L Xu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
62015
KP-Means: A Clustering Algorithm of K “Purified” Means for Hyperspectral Endmember Estimation
L Xu, J Li, A Wong, J Peng
IEEE Geoscience and Remote Sensing Letters 11 (10), 1787 - 1791, 2014
62014
Semiautomated Segmentation of Sentinel-1 SAR Imagery for Mapping Sea Ice in Labrador Coast
W Tan, J Li, L Xu, MA Chapman
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018
52018
Fully Connected Continuous Conditional Random Field With Stochastic Cliques for Dark-Spot Detection In SAR Imagery
L Xu, MJ Shafiee, A Wong, DA Clausi
IEEE Journal of Selected Topics on Applied Earth Observation and Remote …, 2016
52016
Feature Extraction for Hyperspectral Imagery via Ensemble Localized Manifold Learning
F Li, L Xu, A Wong, DA Clausi
IEEE Geoscience and Remote Sensing Letters 12 (12), 2486-2490, 2015
52015
A KPCA texture feature model for efficient segmentation of RADARSAT-2 SAR sea ice imagery
L Xu, J Li, A Wong, C Wang
International Journal of Remote Sensing 35 (13), 5053-5072, 2014
52014
A Novel Bayesian Spatial–Temporal Random Field Model Applied to Cloud Detection From Remotely Sensed Imagery
L Xu, A Wong, DA Clausi
IEEE Transactions on Geoscience and Remote Sensing 55 (9), 4913-4924, 2017
42017
Extraction of Endmembers From Hyperspectral Images Using A Weighted Fuzzy Purified-Means Clustering Model
L Xu, A Wong, F Li, D Clausi
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016
42016
QMCTLS: Quasi Monte Carlo Texture Likelihood Sampling for Despeckling of Complex Polarimetric SAR Images
F Li, L Xu, A Wong, D Clausi
IEEE Geoscience and Remote Sensing Letters 12 (7), 1566 - 1570, 2015
42015
Exploring the Potential of Active Learning for Automatic Identification of Marine Oil Spills Using 10-Year (2004–2013) RADARSAT Data
Y Cao, L Xu, D Clausi
Remote Sensing 9 (10), 1041, 2017
32017
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